供热系统热动态特性回归模型及热电联合调度
|
摘要
集中供热系统的热动态特性可用于提高供热季热电联产机组的调峰能力以促进风电消纳。采用物理模型对集中供热系统热动态特性进行建模,涉及系统内部各环节的个体特性以及供热管网的拓扑结构特性等,导致基于物理模型的热电联合调度模型过于复杂而不利于在大电网中的应用。首先,着眼系统整体特性,利用自回归分布滞后时间序列建立了质调节运行模式下的热动态特性简化回归模型,并给出了建模方法;之后,构建了基于回归模型的热电联合调度;最后,通过与基于物理模型的调度模式进行对比,验证了基于回归模型的调度模式能够减少变量数量和计算时间,具有良好的简化效果和较高的准确性。
Dynamic thermal performance of a district heating system can be utilized to improve the peak regulation capacity of combined heat and power units so as to enhance wind power integration in heating seasons. Modeling dynamic thermal performance with the physical model involves individual characteristics of each part inside the system and topological structure characteristics of pipelines network, resulting in that the combined heat and power dispatch model based on the physical model is complicated, which is difficult to be applied in large-scale power grid analysis. Focusing on the system overall performance,a reduced-form regression model is built to describe the dynamic thermal performance of the district heating system under the quality regulation mode by utilizing the auto-regressive distributed lag time series. The model connotation is analyzed and the modeling method is given. The combined heat and power dispatch model based on the regression model is built. Compared with the dispatch mode based on physical model, the dispatch mode based on the regression model can reduce variable number and calculation time, which has good simplification effect.
Dynamic thermal performance of a district heating system can be utilized to improve the peak regulation capacity of combined heat and power units so as to enhance wind power integration in heating seasons. Modeling dynamic thermal performance with the physical model involves individual characteristics of each part inside the system and topological structure characteristics of pipelines network, resulting in that the combined heat and power dispatch model based on the physical model is complicated, which is difficult to be applied in large-scale power grid analysis. Focusing on the system overall performance,a reduced-form regression model is built to describe the dynamic thermal performance of the district heating system under the quality regulation mode by utilizing the auto-regressive distributed lag time series. The model connotation is analyzed and the modeling method is given. The combined heat and power dispatch model based on the regression model is built. Compared with the dispatch mode based on physical model, the dispatch mode based on the regression model can reduce variable number and calculation time, which has good simplification effect.
引文
[1]吕泉,陈天佑,王海霞,等.含储热的电力系统电热综合调度模型[J].电力自动化设备,2014, 34(5):79-85.LU Quan, CHEN Tianyou, WANG Haixia, et al. Combined heat and power dispatch model for power system with heat accumulator[J]. Electric Power Automation Equipment, 2014, 34(5):79-85.
[2]王漪,薛永峰,张敏,等.基于能量平衡法的供热机组电量分析数学模型[J].电力系统自动化,2014,38(8):108-412.WANG Yi, XUE Yongfeng, ZHANG Min, et al. Mathematical model for power quantity analysis of heating unit based on energy balance method[J]. Automation of Electric Power Systems, 2014,38(8):108-412.
[3] CHEN X, KANG C,O'MALLEY M,et al. Increasing the flexibility of combined heat and power for wind power integration in China:Modeling and implications[J]. IEEE Transactions on Power Systems, 2015, 30(4):1848-1857.
[4]于婧,孙宏斌,沈欣炜.考虑储热装置的风电-热电机组联合优化运行策略[J].电力自动化设备,2017, 37(6):139-445.YU Jing, SUN Hongbin, SHEN Xinwei. Optimal operating strategy of integrated power system with wind farm,CHP unit and heat storage device[J]. Electric Power Automation Equipment,2017,37(6):139-145.
[5]秦冰,江亿,付林.集中供热系统热动态特性研究综述[J].煤气与热力,2003, 23(11):694-697.QIN Bing,JIANG Yi, FU Lin. Summarization for research on dynamic performance of centralized heat-supply system[J]. Gas&Heal, 2003, 23(11):694-697.
[6]龙虹毓,何国军,徐瑞林,等.计及分布式电源热泵的热电联产协调优化调度与能效分析[J].电力系统自动化,2013, 37(14):38-42.LONG Hongyu,HE Guojun,XU Ruilin,et al. Cogeneration coordination optimal dispatch and energy efficiency analysis containing distributed electric heat pumps[J]. Automation of Electric Power Systems, 2013, 37(14):38-42.
[7] YANG Y, WU K, LONG H, et al. Integrated electricity and heating demand-side management for wind power integration in China[J]. Energy, 2014, 78:235-346.
[8]顾泽鹏,康重庆,陈新宇,等.考虑热网约束的电热能源集成系统运行优化及其风电消纳效益分析[J].中国电机工程学报,2015, 35(14):3596-3604.GU Zepeng, KANG Chongqing, CHEN Xinyu, et al. Operation optimization of integrated power and heat energy systems and the benefit on wind power accommodation considering heating network constraints[J]. Proceedings of the CSEE, 2015, 35(14):3596-3604.
[9] LI Z,WU W, SHAHIDEHPOUR M, et al. Combined heat and power dispatch considering pipeline energy storage of district heating network[J]. IEEE Transactions on Sustainable Energy, 2016,7(1):12-22.
[10] PAN Z, GUO Q, SUN H. Feasible region method based integrated heat and electricity dispatch considering building thermal inertia[J]. Applied Energy, 2017, 192:395-407.
[11]张治江,石久胜.热水间歇供暖加热过程数理模型[J].暖通空调,2001,31(2):80-82.ZHANG Zhijiang, SHI Jiusheng. Model of the intermitent heating process of a hot water heating system[J]. Journal of HV&AC,2001, 31(2):80-82.
[12] FU L, JIANG Y. Optimal operation of a CHP plant for space heating as a peak load regulating plant[J]. Energy,2000,25(3):283-298.
[13]付林,江亿.承担采暖负荷的背压机组电力调峰优化运行[J].中国电机工程学报,2000, 20(3):81-84, 88.FU Lin,JIANG Yi. Optimal operation of back-pressure units for space heating[J]. Proceedings of the CSEE, 2000, 20(3):81-84,88.
[14]黄大为,郭君宜.热电联产机组参与系统调峰的调度策略[J].电力系统及其自动化学报,2014, 26(3):35-39.HUANG Dawei, GUO Junyi. Peak-4oad regulation strategy of power grid with cogeneration units[J]. Proceedings of the CSU-EPSA, 2014, 26(3):35-39.
[15]邹云阳,杨莉,冯丽,等.考虑热负荷二维可控性的微网热电协调调度[J].电力系统自动化,2017,41(6):13-49.ZOU Yunyang, YANG Li, FENG Li, et al. Coordinated heat and power dispatch of microgrid considering two-dimensional conrollability of heat loads[J]. Automation of Electric Power Systems, 2017, 41(6):1349.
[16]庞皓.计量经济学[M].北京:科学出版社,2014.
[17]李平,王海霞,王漪,等.利用建筑物与热网热动态特性提高热电联产机组调峰能力[J].电力系统自动化,2017, 41(15):26-33.LI Ping, WANG Haixia, WANG Yi, et al. Improvement of peak load regulation capacity of combined heat and power units considering dynamic thermal performance of buildings and district heating pipelines network[J]. Automation of Electric Power Systems, 2017, 41(15):26-33.
[18] GU W,WANG J, LU S, et al. Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings[J]. Applied Energy, 2017, 199:234-346.
[19]徐欣,田喆.天津市办公建筑供暖负荷中短期预测[J].暖通空调,2016, 46(4):50-54.XU Xin,TIAN Zhe. Short and medium-term prediction of heating load for office buildings in Tianjin[J]. Journal of HV&AC,2016,46(4):50-54.
[2]王漪,薛永峰,张敏,等.基于能量平衡法的供热机组电量分析数学模型[J].电力系统自动化,2014,38(8):108-412.WANG Yi, XUE Yongfeng, ZHANG Min, et al. Mathematical model for power quantity analysis of heating unit based on energy balance method[J]. Automation of Electric Power Systems, 2014,38(8):108-412.
[3] CHEN X, KANG C,O'MALLEY M,et al. Increasing the flexibility of combined heat and power for wind power integration in China:Modeling and implications[J]. IEEE Transactions on Power Systems, 2015, 30(4):1848-1857.
[4]于婧,孙宏斌,沈欣炜.考虑储热装置的风电-热电机组联合优化运行策略[J].电力自动化设备,2017, 37(6):139-445.YU Jing, SUN Hongbin, SHEN Xinwei. Optimal operating strategy of integrated power system with wind farm,CHP unit and heat storage device[J]. Electric Power Automation Equipment,2017,37(6):139-145.
[5]秦冰,江亿,付林.集中供热系统热动态特性研究综述[J].煤气与热力,2003, 23(11):694-697.QIN Bing,JIANG Yi, FU Lin. Summarization for research on dynamic performance of centralized heat-supply system[J]. Gas&Heal, 2003, 23(11):694-697.
[6]龙虹毓,何国军,徐瑞林,等.计及分布式电源热泵的热电联产协调优化调度与能效分析[J].电力系统自动化,2013, 37(14):38-42.LONG Hongyu,HE Guojun,XU Ruilin,et al. Cogeneration coordination optimal dispatch and energy efficiency analysis containing distributed electric heat pumps[J]. Automation of Electric Power Systems, 2013, 37(14):38-42.
[7] YANG Y, WU K, LONG H, et al. Integrated electricity and heating demand-side management for wind power integration in China[J]. Energy, 2014, 78:235-346.
[8]顾泽鹏,康重庆,陈新宇,等.考虑热网约束的电热能源集成系统运行优化及其风电消纳效益分析[J].中国电机工程学报,2015, 35(14):3596-3604.GU Zepeng, KANG Chongqing, CHEN Xinyu, et al. Operation optimization of integrated power and heat energy systems and the benefit on wind power accommodation considering heating network constraints[J]. Proceedings of the CSEE, 2015, 35(14):3596-3604.
[9] LI Z,WU W, SHAHIDEHPOUR M, et al. Combined heat and power dispatch considering pipeline energy storage of district heating network[J]. IEEE Transactions on Sustainable Energy, 2016,7(1):12-22.
[10] PAN Z, GUO Q, SUN H. Feasible region method based integrated heat and electricity dispatch considering building thermal inertia[J]. Applied Energy, 2017, 192:395-407.
[11]张治江,石久胜.热水间歇供暖加热过程数理模型[J].暖通空调,2001,31(2):80-82.ZHANG Zhijiang, SHI Jiusheng. Model of the intermitent heating process of a hot water heating system[J]. Journal of HV&AC,2001, 31(2):80-82.
[12] FU L, JIANG Y. Optimal operation of a CHP plant for space heating as a peak load regulating plant[J]. Energy,2000,25(3):283-298.
[13]付林,江亿.承担采暖负荷的背压机组电力调峰优化运行[J].中国电机工程学报,2000, 20(3):81-84, 88.FU Lin,JIANG Yi. Optimal operation of back-pressure units for space heating[J]. Proceedings of the CSEE, 2000, 20(3):81-84,88.
[14]黄大为,郭君宜.热电联产机组参与系统调峰的调度策略[J].电力系统及其自动化学报,2014, 26(3):35-39.HUANG Dawei, GUO Junyi. Peak-4oad regulation strategy of power grid with cogeneration units[J]. Proceedings of the CSU-EPSA, 2014, 26(3):35-39.
[15]邹云阳,杨莉,冯丽,等.考虑热负荷二维可控性的微网热电协调调度[J].电力系统自动化,2017,41(6):13-49.ZOU Yunyang, YANG Li, FENG Li, et al. Coordinated heat and power dispatch of microgrid considering two-dimensional conrollability of heat loads[J]. Automation of Electric Power Systems, 2017, 41(6):1349.
[16]庞皓.计量经济学[M].北京:科学出版社,2014.
[17]李平,王海霞,王漪,等.利用建筑物与热网热动态特性提高热电联产机组调峰能力[J].电力系统自动化,2017, 41(15):26-33.LI Ping, WANG Haixia, WANG Yi, et al. Improvement of peak load regulation capacity of combined heat and power units considering dynamic thermal performance of buildings and district heating pipelines network[J]. Automation of Electric Power Systems, 2017, 41(15):26-33.
[18] GU W,WANG J, LU S, et al. Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings[J]. Applied Energy, 2017, 199:234-346.
[19]徐欣,田喆.天津市办公建筑供暖负荷中短期预测[J].暖通空调,2016, 46(4):50-54.XU Xin,TIAN Zhe. Short and medium-term prediction of heating load for office buildings in Tianjin[J]. Journal of HV&AC,2016,46(4):50-54.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |